AI Architect

Python is the language more people learn to code with than any other, and for good reason. It reads like plain English, runs everywhere, and has a library for virtually anything you want to build. From AI to web development to scripting, Python is the starting point for most of what matters in software today.

• Machine learning models and AI applications
• Data analysis and scientific computing
• Web backends with Django and FastAPI

Docker solved the 'it works on my machine' problem. You package your application and everything it needs into a container that runs identically on a developer laptop, a test server, and production. Consistent environments, no surprises.

• Packaging applications so they run the same everywhere
• Running services locally without installing them natively
• Building CI/CD pipelines with repeatable environments

Kubernetes orchestrates containers at scale. When you go from one Docker container to hundreds across multiple servers, you need something to manage them, roll out updates, restart failures, balance load, and scale under pressure.

• Deploying containerised applications across a cluster
• Scaling services up and down automatically under load
• Rolling out new versions with zero downtime

Microsoft's enterprise cloud platform. Offers compute, storage, databases, AI services, DevOps tooling, and deep integration with Microsoft's enterprise software ecosystem.

• Hosting web apps and APIs with Azure App Service
• Running containerised workloads with Azure Kubernetes Service
• Storing data with Azure SQL, Cosmos DB, and Blob Storage

The most advanced open-source relational database in the world. Handles complex SQL queries, stores rich data types, enforces data integrity, and scales to serious production workloads without a licensing fee.

• Storing relational data for web and mobile applications
• Complex queries with joins, aggregations, and window functions
• Storing JSON and running hybrid relational queries on it